What do digital platforms actually do for farmers and the food supply chain?
Digital platforms act as central hubs that connect farmers, landowners, investors, processors, distributors, and even government agencies, enabling them to share information, coordinate activities, and make better decisions. For example, the BGrow platform integrates AI and IoT to match farmers with investors, monitor crop health via soil moisture and temperature sensors, and provide data-driven advice, all in one ecosystem [6]. Similarly, cloud-based social networking apps allow farmers to communicate in real time, exchange knowledge, and solve problems collaboratively, which enhances productivity and strengthens farming communities [9].
The impact on productivity is measurable. Mobile apps, SMS services, and e-learning platforms that deliver timely, location-specific advice have been shown to improve yields by 20-30% [1]. In a real-world case in India, a digital platform called eKisaan delivered video-based advice in local languages, leading to an estimated 15% increase in farmer income after 18 months, with an additional 7% gain in the third year [10]. These platforms also help reduce waste and overproduction by enabling real-time stock tracking and demand forecasting, as demonstrated in a study of the potato supply chain [5].
If these platforms are so effective, why isn't everyone using them?
The biggest barrier is the digital divide: about 37% of the global population still lacks internet access, especially in rural areas where farming is most critical [1]. Even where connectivity exists, digital literacy is low—a survey of Greek farmers found that while 97.8% used digital devices, very few were aware of Collective Awareness Platforms (CAPs) designed for knowledge sharing [2]. However, over half (51.1%) were open to adopting new methods, suggesting that training and awareness campaigns could unlock significant adoption [2].
Another major hurdle is farmer resistance to sharing data. Collaboration requires sharing equipment, data, and expertise, but farmers often worry about losing control of confidential information [11]. This is especially problematic in supply chains where synergy among farmers, processors, and retailers could reduce costs and improve quality, but trust is lacking [11]. The rise of 'oligopolistic platformisation'—where Big Tech and large agribusinesses dominate digital platforms—can also increase farmers' dependency and create fragmented, siloed data systems, making smaller players wary [3].
What does a successful agricultural digital platform look like?
Successful platforms are user-friendly, inclusive, and designed to address specific local challenges. For instance, the eKisaan platform in India succeeded by delivering information in local languages via video, creating village-level farmer clubs to boost engagement, and offering a call-in help center for real-time queries [10]. This combination of technology and human touch led to a 15% income boost. Similarly, a unified 'smart village' app that connects farmers with laborers and provides tutorial videos uses simple algorithms to match supply and demand, bridging the gap between technology and rural livelihoods [7].
Collaboration across borders also matters. A framework developed by teams from Chile, the US, and the Dominican Republic integrates low-cost sensors, cloud data, and decision-support systems to monitor and automate farming processes [8]. This shows that platforms don't have to be expensive—they can be built with affordable hardware and open-source software. The key is to involve all stakeholders—public institutions, private companies, civil society, and research organizations—in the design and governance of the platform, as recommended for post-conflict agricultural recovery in Sudan [4]. When done right, digital platforms can transform agriculture from a fragmented, low-tech sector into a data-driven, collaborative ecosystem.
Sources used in this answer
Digital Innovations in Extension Education: A Review of Emerging Technologies and their Impact on Agricultural Knowledge Dissemination
Digital tools like mobile apps and AI advisory systems can boost agricultural productivity by 20-30% and improve decision-making accuracy by up to 40%, but 37% of the global population lacks internet access, limiting reach.
The Role of Collective Awareness Platforms in Promoting Sustainable Agricultural Practices Among a Sample of Greek Farmers
Among 182 Greek farmers, 97.8% used digital devices but awareness of Collective Awareness Platforms (CAPs) was very low; however, 51.1% were open to adopting new methods, and CAPs scored high (mean 4.21/5) for knowledge transmission potential.
Digital platforms in the agricultural sector: Dynamics of oligopolistic platformisation
Big Tech and multinational agribusinesses are collaboratively establishing digital platforms that consolidate services, blurring industry lines and potentially increasing farmer dependency on large companies.
Transforming Sudan’s Agricultural Sector: A Post-Conflict Platform for Sustainable Growth
A post-conflict agricultural recovery model for Sudan emphasizes collaboration among public, private, and civil society stakeholders, using digital platforms and decentralized hubs to improve finance, knowledge, and market access for smallholder farmers.
Development of a Decision Support Information System for the Regulation of Consumer Goods in the Agricultural Sector
Stakeholder interviews in the potato sector highlight the need for a collaborative digital platform with real-time stock tracking and demand forecasting to reduce supply chain disruptions and waste.
BGrow: An AI-IoT Enabled Collaborative Digital Platform for Smart Agricultural Investment & Monitoring
The BGrow platform uses AI and IoT to connect farmers, landowners, and investors, providing end-to-end collaboration including land listing, project evaluation, funding, and simulated crop monitoring.
A Unified Digital Platform for Smart Village Development: Integrating Agricultural Support and Rural Services
A unified smart village application integrates a landlord-labor hub with farmer tutorial videos, using algorithms to connect farmers with local skilled/unskilled laborers.
Biosystems Engineering for the Digital Transformation of Agriculture: Integrating Hardware, Software, and Global Collaboration
A framework integrating low-cost sensors, cloud data, and decision-support systems, developed by teams from Chile, the US, and the Dominican Republic, enables scalable agricultural digitalization.
Transforming Agriculture through Cloud-Based Social Networking Applications
Cloud-based social networking applications enhance farmer communication, knowledge exchange, and collaborative problem-solving, leading to improved productivity and sustainable practices.
Societal Digital Platforms for Sustainability: Agriculture
The eKisaan digital platform in India, delivering video-based information in local languages, led to an estimated 15% increase in farmer income after 18 months and an additional 7% in the third year.
Study on Collaborative Smart Farming over Digital Platform
Smart farming collaboration via IoT and digital platforms can improve supply chain efficiency, but farmers often resist sharing confidential data, hindering widespread adoption.